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Now accepting applications for International Summer School on HPC 2020 - Toronto July 12-17

Graduate students and postdoctoral scholars from all academic institutions in Canada are invited to apply for the International Summer School on High-Performance Computing Challenges in Computational Sciences, to be held July 12 to 17, 2020 at the University of Toronto, Canada. Applications are due January 27, 2020. 

This expenses-paid program will familiarize the best students in computational sciences with major state-of-the-art aspects of HPC and Big Data Analytics for a variety of scientific disciplines, catalyze the formation of networks, provide advanced mentoring, facilitate international exchange and open up further career options.

It is organized and sponsored by the SciNet HPC Consortium (a regional partner of Compute Canada), R-CCS/RIKEN, the Partnership for Advanced Computing in Europe (PRACE), and the Extreme Science and Engineering Discovery Environment (XSEDE), and is great opportunity to improve HPC and Big Data skills and connect with international experts in computational science.

Who can apply:

Graduate students and postdoctoral scholars from institutions in Canada, Europe, Japan and the United States, especially if you use advanced computing in your research. Students from underrepresented groups in computing are highly encouraged to apply (e.g., women, racial/ethnic minorities, persons with disabilities, etc.).

Selection is based on previous familiarity with large scale computational research and on how the knowledge gained in the summer school would impact the applicant's research.

Preferred qualifications, but not required:

  • Familiarity with HPC, not necessarily an HPC expert, but rather a scholar who could benefit from including advanced computing tools and methods into their existing computational work
  • A graduate student with a strong research plan or a postdoctoral fellow in the early stages of their research careers
  • Utilize parallel programming at least on monthly basis, more frequently preferred
  • A science or engineering background, however, applicants from other disciplines are welcome, provided your research activities include computational work.

Who are the teachers:

Leading computational scientists and HPC technologists from Canada, the US, Japan, and Europe will teach classes and provide mentoring to attendees.

What will you learn:

Topics include:

  • HPC challenges by discipline
  • HPC programming proficiencies
  • Performance analysis & profiling
  • Scientific visualization
  • Big Data Analytics
  • Networking
  • Machine Learning
  • Canadian, EU, Japanese and US HPC-infrastructures
  • Mentoring


School fees, meals, and housing are covered for all accepted applicants, also intercontinental flight costs.

Further information and application:

For further information and application, see


Reach out get questions answered about eligibility, the application process, or the summer school itself:

Ramses van Zon
SciNet HPC Consortium